GraphKKE: graph Kernel Koopman embedding for human microbiome analysis. - Kateryna Melnyk; Stefan Klus; Grégoire Montavon; Tim O. F. Conrad (Appl. Netw. Sci., 2020)

Understanding microbiome dynamics via interpretable graph representation learning. - Kateryna Melnyk; Kuba Weimann; Tim O. F. Conrad (CoRR, 2022)

Threats Detection and Analysis Based on SYSMON Tool. - Nataliia Bahniuk; Linchuk Oleksandr; Bortnyk Kateryna; Inna Kondius; Kateryna Melnyk; Kostiantyn Kondius (DESSERT, 2023)

Towards Synthetic Data Generation of VANET Attacks for Efficient Testing. - Thomas Rosenstatter; Kateryna Melnyk (IV, 2023)

Unsupervised approaches for time-evolving graph embeddings with application to human microbiome - Kateryna Melnyk (2024)

Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their Parameters. - Kateryna Melnyk; Lee Friedman; Dmytro Katrychuk; Oleg Komogortsev (Proc. ACM Comput. Graph. Interact. Tech., 2024)

Gaze Prediction as a Function of Eye Movement Type and Individual Differences. - Kateryna Melnyk; Lee Friedman; Dmytro Katrychuk; Oleg Komogortsev (ETRA, 2025)